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G. Elliott Morris is a data journalist at The Economist and writes mostly about American politics and elections, usually by engaging in a close study of political science, political polling and demographic data. He is responsible for many of The Economist’s election forecasting models, including their 2020 US presidential election forecast.
Over the past couple of decades, technical models, both statistical, machine learning and combinations of these methods, for forecasting various forms of political conflict, including protest, violent substate conflict, and even coups, have become surprisingly common in policy and NGO communities, particularly in Europe, though not, curiously, in US academia. These methods, working with readily available, if noisy, open source data, use a number of familiar predictive analytical approaches such as logit models in the statistical realm and random forests in the machine learning, and consistently outperform human analysts. This talk will first review the current state of the field, with a particular emphasis on why current models work whereas prior to 2005 there was little consistent success with the problems, and then present some challenges that remain unresolved. The talk will assume familiarity with general social science quantitative approaches, but not with the details of specific technical approaches: lots of graphics, a couple tables, no equations.
Textual data are central to the social sciences. However, they often require several pre-processing steps before they can be utilized for statistical analyses. This workshop introduces a range of Python tools to clean, organize, and analyze textual data. It is intended for researchers who are new to working with textual data, but are familiar with Python or have completed the Introduction to Python workshop. Python is best learned hands-on. Python packages: nltk, fuzzywuzzy, re, glob, sklearn, pandas, numpy, matplotlib
In recent years, social scientists have increased their efforts to access new datasets from the web or from large databases. An easy way to access such data are Application Programming Interfaces (APIs). This workshop introduces techniques for working with APIs in Python to retrieve data from sources such as Wikipedia or The New York Times. It is intended for researchers who are new to working with APIs, but are familiar with Python or have completed the Introduction to Python workshop. Python is best learned hands-on. To side step any issues with installation, we will be coding on Jupyter Notebooks with Binder. This means that participants will be able to follow along on their machines without needing to download any packages or programs in advance. We do recommend requesting a ProPublica Congress API key in advance (https://www.propublica.org/datastore/api/propublica-congress-api). This allows participants to run the API script on their own machines.
Helge-Johannes Marahrens is a doctoral student in the department of Sociology at Indiana University. He recently earned an MS in Applied Statistics and is currently working toward a PhD in Sociology. His research interests include cultural consumption, stratification, and computational social science with a particular focus on Natural Language Processing (NLP). Anne Kavalerchik is a doctoral student in the departments of Sociology and Informatics at Indiana University. Her research interests are broadly related to inequality, social change, and technology.
After an historic win for women’s b-ball at IU, Elaine and Violet sit down with Nicole Cardano-Hillary to hear what it means to taste victory while being a full-time student, gender in a male-dominated sport, and what might be next for a sport champ at the Media School.
Indiana University School of Medicine. Medical Educational Resources Program
Summary:
A tour of Indiana University School of Medicine's new Medical Research and Library Building on the Indiana University–Purdue University Indianapolis (IUPUI) campus. An abbreviated version of a longer video by the same name. The library building was dedicated on May 20, 1989 at the annual IU School of Medicine Alumni Day.
United States. Office of the Coordinator of Inter-American Affairs, United States. Office of Strategic Services, United States. Federal Security Agency. Office of Education
Summary:
Reports on advancements in aviation in Brazil. Begins with an early figure in Brazilian aviation history, Alberto Santos-Dumont, the creation of his memorial, and the founding of the Escola de Especialistas de Aeronautica in 1941. Reports on Brazil's role among the allied nations in wartime, include air patrols of its coastline and providing protection for ocean transport ships. Profiles the developing infrastructure of air travel in Brazilian nation with visits to newly constructed airports at Belem, Rio De Janeiro, Sao Paulo, Porto Alegre and Natal.
This Pan Am travelogue about the Bahamas shows everything the breathtaking islands have to offer, including swimming, boating, shopping, and culture. Every visit offers a different variety of activities for tourists, and keeps them coming back.
United States. Army Air Forces. Motion Picture Unit, 1st
Summary:
The story of the twelve weeks of discipline, concentrated study and hard work leading to graduation from the Officers' Candidate School of the U.S. Army Air Forces and the rank of second lieutenant.